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Remote Data Infrastructure Jobs (NOW HIRING)

Siena Partnership

This high-impact remote role involves leading the product strategy, focusing on data infrastructure and AI-driven solutions. The ideal candidate will have senior product leadership experience in SaaS ...

campus4tech

Data Engineer - Databricks & Snowflake

$117K - $140K/yr

Remote Responsibilities: * Strong experience with Databricks and data infrastructure technologies * Proven ability to design and implement scalable data solutions * Familiarity with data governance ...

Hire Hangar

Data Engineer

Columbia, MD · Remote

$113K - $136K/yr

Job Title: Data Engineer Location | Remote (US Only) Time Zone | US Time Zones (EST-PST) Role ... This role sits at the intersection of backend data infrastructure and front-end visualization ...

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eAI

Head of AI & Data (Remote)

Bodega Bay, CA · Remote

This role is responsible for building and scaling production-grade AI agents, models, and data infrastructure that operate in real-world banking environments. You will own the technical foundation of ...

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Remote Data Infrastructure information

What are the key skills and qualifications needed to thrive as a Remote Data Infrastructure Engineer, and why are they important?

To excel as a Remote Data Infrastructure Engineer, you need a strong background in computer science, data architecture, and experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with tools like Terraform, Kubernetes, and data pipeline technologies, as well as relevant certifications (e.g., AWS Certified Solutions Architect), is typically required. Strong problem-solving abilities, clear communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These competencies ensure reliable, scalable data systems and effective teamwork across distributed environments.

What are some common challenges faced by professionals working in remote data infrastructure roles?

Professionals in remote data infrastructure roles often encounter challenges such as ensuring seamless communication across distributed teams, maintaining high availability and performance of data systems, and managing security risks associated with remote access. Coordinating with colleagues across different time zones can require flexibility in scheduling and proactive communication. Additionally, remote data infrastructure engineers must stay up-to-date with evolving cloud technologies and best practices to effectively support scalable, reliable, and secure data architectures.

What is remote data infrastructure?

Remote data infrastructure refers to the systems, tools, and processes that enable organizations to collect, store, manage, and analyze data from remote locations, often via cloud-based platforms. This infrastructure allows teams to access and work with data securely from anywhere, supporting distributed work environments and scalable data solutions. It typically involves cloud storage, data pipelines, databases, and security protocols tailored for remote accessibility. Remote data infrastructure is essential for businesses that operate in multiple locations or have remote teams.
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Remote Data Infrastructure jobs near you
Data Infrastructure Software Engineer

Data Infrastructure Software Engineer

NextSense

Mountain View, CA • On-site, Remote

$136K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Job description

Company Description

About NextSense:

NextSense's vision is to be the foundation of brain health and establish a new paradigm in neurocare. Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to establish new ways of diagnosing and optimizing therapy for diverse neurological conditions. We hope to unlock brain health for everyone with real world data insights and practical, scientific wisdom for daily living.

Job Description

NextSense is a cloud based engineering organization with all of our data infrastructure in Google Cloud (GCP) leveraging BigQuery, Compute Engine and Kubernetes.  This is a great opportunity to come in and help us redesign or rework our existing data infrastructure.

Responsibilities:

  • Understand the data needs of different engineering teams at NextSense, including HWE, Clinical and Research
  • Understand end to end data interactions and dependencies across our existing data pipelines and data transformation and how they impact business decisions.
  • Design best practices for big data processing, data modeling and warehouse development for NextSense.
  • Build integration and automation across different systems to scale data operations and increase efficiency.
     
Qualifications
  • 3+ years in building a data warehouse and data pipelines. Or, 5+ years in data intensive engineering roles.
  • Solid understanding of databases (relational, key/value, document, columnar, olap, graph)
  • Strong SWE principles and OO experience
  • Experience with GCP, Kubernetes 
  • Experience building and running in production (24x7 environments) distributed large-scale systems
  • Experience in working on Cloud Distributed Storage/Databases and/or data technologies that power analytics (e.g., Pinot, Druid, Redshift, Hadoop, Spark, Presto, Kafka, Flink, etc. or similar technologies)
  • Experience in Building Micro services & Cloud Platforms on AWS, Azure etc
  • Experience with open source project management and governance
  • Hands on experience developing distributed systems, databases, or other large scale data systems.
Additional Information

Benefits:

Our careers benefits include but are not limited to the following:

  • Flexible/hybrid work schedule (built-in work from home days)
  • Equity
  • Retirement savings (no employer matching at this stage)
  • Healthcare Flexible Spending Account (FSA)
  • Medical, dental, vision, and life insurance
  • Wellness-bundle, commuter benefits
  • Paid vacation, holidays, parental leave

Location:

Preferred: San Francisco Bay area (open to discussing remote geographic areas) 

Employment Eligibility:

At this time NextSense is only considering candidates for this role who are eligible to legally work in the US without any Visa sponsor/transfer requirements now or in the future.  Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.  

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